Study of Harbor Ship Monitoring Strategy Based on Delayed Data Fusion
GE Quan-bo · Navigation of China · 2007
Based on the analysis of current harbor ship monitoring methods and navigation technology,combined with the data fusion technology based on Kalman filter,the design of ship navigation algorithm and monitoring strategy applying data from radar,GPS and AIS is studied in this paper.Aimed at the defects existing in current delayed smooth fusion estimation method,a centralized prediction estimation fusion algorithm is presented.Compared with current smooth estimate method,this method has higher real-time performance and applicability,a complete strategy of ship navigation and monitoring is presented by integration of the new and current delayed smooth estimate algorithms.Computer simulation examples validate the superiority of the new algorithm and also the effectiveness of new monitoring strategy.